Research
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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

169,051 papers · 148 categories

Trend · papers per month

count% of corpus
0111 · Aug 201819922001200920182026
3 results for “MLDA”
MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulationcs.LG

MiLeNAS improves neural architecture search by reducing approximation errors and achieving better accuracy.

problem Improving efficiency and accuracy in neural architecture search (NAS).
method Mixed-level reformulation (MiLeNAS) to optimize efficiently and reliably.
result MiLeNAS achieves lower validation error and higher accuracy than bilevel optimization methods.
Neural Architecture SearchMixed-Level ReformulationEfficient OptimizationAccuracy ImprovementFirst-Order Methods
2020-03-27abs ↗pdf ↗
Deep Robust Framework for Protein Function Prediction using Variable-Length Protein Sequencescs.LG

A new method predicts protein functions using variable-length sequences.

problem Computational methods for protein function prediction are slow and inaccurate for long sequences.
method Two feature sets: single fixed-sized segments and multi-sized segments, using bi-directional LSTM. Combined with MLDA features.
result Significant improvement in accuracy for long protein sequences.
protein function predictionlong protein sequencesbi-directional LSTMMLDAvariable-length sequences
2018-11-04abs ↗pdf ↗